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Featured researches published by R. Guilmette.


Radiation Protection Dosimetry | 2007

Updating the ICRP human respiratory tract model

M. R. Bailey; Eric Ansoborlo; R. Guilmette; F. Paquet

The ICRP Task Group on Internal Dosimetry is developing new Occupational Intakes of Radionuclides (OIR) documents. Application of the Human Respiratory Tract Model (HRTM) requires a review of the lung-to-blood absorption characteristics of inhaled compounds of importance in radiological protection. Where appropriate, material-specific absorption parameter values will be given, and for other compounds, assignments to default Types will be made on current information. Publication of the OIR provides an opportunity for updating the HRTM in the light of experience and new information. The main possibilities under consideration relate to the two main clearance pathways. Recent studies provide important new data on rates of particle transport from the nasal passages, bronchial tree (slow phase) and alveolar region. The review of absorption rates provides a database of parameter values from which consideration can be given to deriving typical values for default Types F, M and S materials, and element-specific rapid dissolution rates.


Radiation Protection Dosimetry | 2008

UNCERTAINTIES IN INTERNAL DOSES CALCULATED FOR MAYAK WORKERS—A STUDY OF 63 CASES

Guthrie Miller; R. Guilmette; Luiz Bertelli; Tom L. Waters; Sergey Romanov; Y. V. Zaytseva

This study makes use of 63 cases of Mayak workers exposed to Pu-239 with autopsy data and some late-time urine bioassay data. In addition, air-concentration data--used to construct monthly average values--are available for each case, which provide the time dependence and potential magnitudes of normal inhalation intakes for each case. The purpose of the study is to develop and test Bayesian methods of dose calculation for the Mayak workers. The first part of the study was to quantitatively characterise the uncertainties of the bioassay data. Then, starting with three different published biokinetic models, the data are fit by varying intake and model perturbation parameters, e.g., parameters influencing the lung, thoracic lymph nodes, liver and bone retention. Statistical self-consistency arguments are used to check the measurement uncertainty parameters within the Poisson-lognormal model. The second part of the study is to set up and test Bayesian dose calculations, which use the point determinations of biokinetic parameters from the study cases within a discrete, empirical Bayes approximation. The main conclusion of the study is that these methods are now ready to be applied to the entire Mayak worker population.


Radiation Protection Dosimetry | 2008

IMPDOS (IMPROVED DOSIMETRY AND RISK ASSESSMENT FOR PLUTONIUM-INDUCED DISEASES): INTERNAL DOSIMETRY SOFTWARE TOOLS DEVELOPED FOR THE MAYAK WORKER STUDY

Guthrie Miller; Luiz Bertelli; R. Guilmette

A collection of software tools developed for the Mayak worker study is described. IMPDOS is software for modelling, data analysis, and activity and dose calculations using the bioassay and postmortem data from Mayak workers provided by Southern Urals Biophysics Institute. The capabilities include: parameter fitting of data for individual cases, Bayesian dose calculations using the fit results for collections of cases with extensive data as a biokinetic prior, and database storage of results for retrieval, analysis and interpretation.


Radiation Protection Dosimetry | 2008

A STUDY OF EARLY LOS ALAMOS INTERNAL EXPOSURES TO PLUTONIUM

Guthrie Miller; Luiz Bertelli; R. Guilmette; M. W. McNaughton; W. F. Eisele

Internal dose caused by exposure to (239)Pu/(240)Pu is calculated for a group of 210 former Los Alamos workers who participated in the urine bioassay programme during the years 1944-45. An iterative Bayesian procedure is employed, where the distribution of intake amounts resulting from an initial calculation is used to define a prior probability distribution of inhalation intakes for an iterated second calculation. The urine bioassay data from this time period were not of high quality, and the more accurate intake prior tempers the effect of spurious high samples, which were probably caused by sample contamination.


Radiation Protection Dosimetry | 2002

Bayesian Internal Dosimetry Calculations Using Markov Chain Monte Carlo

Guthrie Miller; H.F. Martz; Tom T. Little; R. Guilmette


Radiation Protection Dosimetry | 2007

The NCRP wound model: development and application

R. Guilmette; P. W. Durbin; Richard E. Toohey; Luiz Bertelli


Radiation Protection Dosimetry | 1998

Practical application of the ICRP human respiratory tract model

M. R. Bailey; Eric Ansoborlo; R. Guilmette; F. Paquet


Radiation Protection Dosimetry | 2007

In vitro dissolution study of plutonium in aerosol particles from the Mayak PA: a tool for individualised dose estimates

E. E. Aladova; S.A. Romanov; R. Guilmette; Valentin F. Khokhryakov; Klara G. Suslova


Radiation Protection Dosimetry | 2003

The application of Bayesian techniques in the interpretation of bioassay data

Guthrie Miller; Tom T. Little; R. Guilmette


Radiation Protection Dosimetry | 2007

Technical basis for using nose swab bioassay data for early internal dose assessment

R. Guilmette; Luiz Bertelli; Guthrie Miller; Tom T. Little

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Guthrie Miller

Los Alamos National Laboratory

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Luiz Bertelli

Los Alamos National Laboratory

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Tom T. Little

Los Alamos National Laboratory

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M. R. Bailey

Health Protection Agency

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F. Paquet

Institut de radioprotection et de sûreté nucléaire

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Bobby R. Scott

Lovelace Respiratory Research Institute

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Keith F. Eckerman

Oak Ridge National Laboratory

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M. W. McNaughton

Los Alamos National Laboratory

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Mary Ann Parkhurst

Pacific Northwest National Laboratory

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